TransDigm (TDG) Cash & Equivalents (2009 - 2026)
TransDigm (TDG) recorded Cash & Equivalents of $2.77 billion in fiscal Q3 2026 (quarter ended Jun 27, 2026), down 0.7% from $2.79 billion a year earlier and down 28.6% from the prior quarter.
TransDigm (TDG) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), TransDigm reported Cash & Equivalents of $2.81 billion, down 55.2% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -9.9% (FY2020 to FY2025).
- Across earlier fiscal years, Cash & Equivalents came in at $6.26 billion in FY2024 (+80.3%), $3.47 billion in FY2023 (+15.7%), $3 billion in FY2022 (-37.3%) and $4.79 billion in FY2021 (+1.5%).
- Quarterly Cash & Equivalents has ranged from $2.43 billion in fiscal Q2 2025 to $6.26 billion in fiscal Q4 2024 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in three of the last eight quarters, with an average decline of 1.7%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 80.3% in fiscal Q4 2024, against a decline of 55.2% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $3.88 billion (Q2 2026), $2.53 billion (Q1 2026) and $2.81 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 9.35 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 8.31 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 7.24 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 3.79 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 563.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 4.33 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 710.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 2.31 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 8.75 Bn |
| 10 | TransDigm | 60.25 Bn | 48.34 Bn | 1.63 Bn | 2.77 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 2.77 Bn |
| Mar 28, 2026 | 3.88 Bn |
| Dec 27, 2025 | 2.53 Bn |
| Sep 30, 2025 | 2.81 Bn |
| Jun 28, 2025 | 2.79 Bn |
| Mar 29, 2025 | 2.43 Bn |
| Dec 28, 2024 | 2.46 Bn |
| Sep 30, 2024 | 6.26 Bn |
| Jun 29, 2024 | 3.36 Bn |
| Mar 30, 2024 | 4.29 Bn |
| Dec 30, 2023 | 4.14 Bn |
| Sep 30, 2023 | 3.47 Bn |
| Jul 1, 2023 | 3.07 Bn |
| Apr 1, 2023 | 3.42 Bn |
| Dec 31, 2022 | 3.29 Bn |
| Sep 30, 2022 | 3.00 Bn |
| Jul 2, 2022 | 3.81 Bn |
| Apr 2, 2022 | 4.22 Bn |
| Jan 1, 2022 | 4.81 Bn |
| Sep 30, 2021 | 4.79 Bn |
TransDigm Cash & Equivalents API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=TDG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "TDG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=TDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();